1.1 R and Rstudio

• R is a free software environment for statistical computing and graphics
• Rstudio is a integrated development environment (IDE) for R and Python.
  • open source and commercial editions (Windows, Mac, and Linux)

1.2 Rstudio (cont..)

• console for direct code execution

• syntax-highlighting editor

• tools for plotting

• viewing history

• managing your workspace

1.4 Git

1.4.1 Git

1.5 GitHub

GitHub is a web-based interface that uses Git, to let multiple people work and make changes on a project concurrently

1.5.1 Fremium Repository based

• Repository based (Projects)

1.5.2 Built-in security

1.5.3 File History Tracking

1.5.4 Unlimited Public/ Private Repositories

1.5.5 Track issues and task progress

1.5.6 Track issues and task progress

1.5.7 Lessons learnt

1.6 Practical Demonstration

1.6.1 Practical Assumptions

• Computer (Mac, Windows, Linux, etc..) with administrative privileges
• Software download and installation experience

1.6.2 Practical Requirements

• GitHub account
• Rstudio
• Git

1.7 Exercises

1.7.1 Exercises 1

1.7.2 Exercises 2 - RStudio and Git connection (optional)

2.1 Week 1 Recap

• Last week we introduced Git, GitHub, R and RStudio.
• Exercise 1: – Creating GitHub credential – Downloading and Installing R, RStudio and Git
• Exercise 2 (Optional) - Linking GitHub and R

2.2 GitHub workflow

3.1 Additional Resources

• • GitHub Docs

  • GitHub glossary

  • Happy Git and GitHub for the useR

  • Git, GitHub, & GitHub Desktop for beginners

  • R package called “swirl” that teaches you R from within the R studio

  • R for Data Science

  • Crash Course in R.

  • R Cheat Sheets

  • YaRrr! The Pirate’s Guide to R

  • R for Social Scientists

Thank you!